Focus: RF/microwave engineering, machine learning, and signal processing

GPA: 3.54/4.00. Coursework: operating systems, computer architecture, digital system design and synthesis, microprocessor systems, artificial neural networks, applied communications systems, and hardware prototyping capstone.

• Developed a secure on-device AI system in Docker for local data processing workflows.
• Automated an internal data-search task, saving 13.87 minutes per hour of analyst work.
• Used test-bench behavior and internal requirement documents to inform system design decisions.

• Built a low-cost wearable capacitive sensing platform that can be scanned, visualized, and logged from a smartphone.
• Created a cross-platform iOS and Android app for real-time capacitance data capture.
• Reduced estimated per-unit cost to $0.40-$0.65 at scale, 75-90% below comparable Bluetooth systems.
• Awarded 2nd place out of 37 projects at the ECE Undergraduate Research Symposium; patent filed.
• Built Python workflows for RF/microwave inverse design using CST simulation, optimization, surrogate modeling, and physics-based performance prediction.
• Built a production-style antenna test platform for electric-field validation using thermal imaging at two polarizations, STM32/grblHAL motion control, RF relay timing, and automated cold/hot delta-image capture.
• Developed real-time computer vision tooling for running-form analysis with 20+ biomechanical metrics at 35 FPS.

• Launched an on-campus iPhone repair service designed around fast, walkable service for college students.
• Completed 36+ repairs with a 100% 5-star review rate across 28 reviews and a 29-minute average repair time.
• Built a full-stack booking platform with real-time calendar integration and support for multiple repair locations.
• Drove 7,000+ views from 1,600+ users with 63-second average engagement and 17,000+ tracked user events.

• Built a Python toolkit for RFIC transformer layout generation, EMX/Cadence evaluation, and optimization.
• Implemented layout export, Touchstone/S-parameter analysis, differential metric extraction, and objective scoring.
• Added workflows with evolution strategies and Bayesian optimization support for transformer design exploration.

• Built a Python/CST workflow to generate QR-code-based microstrip patch antennas.
• Automated S11 simulation and optimization across patch size, feed width, and QR geometry variants.
• Ranked QR payloads and rotations to preserve scanability while maintaining antenna feed connectivity.
• Orchestrated large CST design sweeps on CHTC GPUs using TuRBO optimization.

• Created a UW-La Crosse grade distribution platform that analyzes 17,000+ grades to support course selection.
• Implemented search and filtering around historical grade data for registration planning.
• Reached 2,800 users, 107,000+ site events, and 3m 53s average engagement per active user.
• Monetized organic registration-period traffic through ad placement.

• Led a complete website redesign that won Best Website at nationals among 94 chapters.
• Increased engagement to 1,900+ users and 13,800+ events with a 1:03 average session duration.

• Built an ESP32-based system that detects apartment intercom calls and sends DTMF tones to unlock a building entrance.
• Integrated ring detection, off-hook control, GPIO switching, and a DTMF module into a working embedded prototype.